Cell-Penetrating Peptides Enhance Viral Nanoparticle Gene Delivery

Cell-penetrating peptides improve the gene transfer efficiency of virus-based nanoparticles while affecting their stability differently depending on CPP type.

Váňová, Jana et al.·International journal of pharmaceutics·2020·Preliminary Evidencein vitro
RPEP-05187In vitroPreliminary Evidence2020RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
in vitro
Evidence
Preliminary Evidence
Sample
N=not applicable
Participants
In vitro polyomavirus gene transfer assays

What This Study Found

CPPs enhance viral nanoparticle gene delivery efficiency, with different CPP types showing distinct effects on nanoparticle activity and stability.

Key Numbers

3/4 CPPs enhanced; R8 destabilized; KH27K aggregated; LAH4 disassembled; FUSO no effect; HS-independent

How They Did This

In vitro gene transfer assays with four different CPPs conjugated to viral nanoparticles, stability assessments.

Why This Research Matters

Viral gene therapy vectors often have limited efficiency. CPPs could boost their performance, making gene therapy more effective at lower doses.

The Bigger Picture

Combining CPPs with viral vectors could improve the next generation of gene therapies for genetic diseases and cancer.

What This Study Doesn't Tell Us

In vitro study. CPP-vector interactions may differ in vivo. Immunogenicity and toxicity not assessed.

Questions This Raises

  • ?Which CPP-vector combination provides the best in vivo gene delivery?
  • ?Do CPPs affect the immunogenicity of viral vectors?
  • ?Can CPP enhancement reduce the viral dose needed for therapeutic effect?

Trust & Context

Key Stat:
Enhanced delivery CPPs improved viral nanoparticle gene transfer efficiency in vitro
Evidence Grade:
In vitro study comparing multiple CPPs. Informative for optimization but needs in vivo validation.
Study Age:
Published in 2020.
Original Title:
Influence of cell-penetrating peptides on the activity and stability of virus-based nanoparticles.
Published In:
International journal of pharmaceutics, 576, 119008 (2020)
Database ID:
RPEP-05187

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study
What do these levels mean? →

Frequently Asked Questions

How do cell-penetrating peptides help gene therapy?

CPPs help therapeutic viral vectors enter cells more efficiently by enhancing membrane crossing. This could make gene therapy work better at lower doses, reducing side effects.

Why test different CPPs?

Different CPPs have different properties — some are better at entering cells, some are more stable, some are less toxic. Finding the right CPP for each viral vector type is important for optimizing gene therapy.

Read More on RethinkPeptides

Cite This Study

RPEP-05187·https://rethinkpeptides.com/research/RPEP-05187

APA

Váňová, Jana; Hejtmánková, Alžběta; Žáčková Suchanová, Jiřina; Sauerová, Pavla; Forstová, Jitka; Hubálek Kalbáčová, Marie; Španielová, Hana. (2020). Influence of cell-penetrating peptides on the activity and stability of virus-based nanoparticles.. International journal of pharmaceutics, 576, 119008. https://doi.org/10.1016/j.ijpharm.2019.119008

MLA

Váňová, Jana, et al. "Influence of cell-penetrating peptides on the activity and stability of virus-based nanoparticles.." International journal of pharmaceutics, 2020. https://doi.org/10.1016/j.ijpharm.2019.119008

RethinkPeptides

RethinkPeptides Research Database. "Influence of cell-penetrating peptides on the activity and s..." RPEP-05187. Retrieved from https://rethinkpeptides.com/research/vanova-2020-influence-of-cellpenetrating-peptides

Access the Original Study

Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.

This study breakdown was produced by the RethinkPeptides research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.